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AI/ML Model Developer

Morgan Stanley

Morgan Stanley

Software Engineering, Data Science
Hungary · Budapest, Hungary
Posted on Sep 3, 2025

The Risk Analytics team has global responsibility to develop and maintain scenario design, credit, and market models for the management of credit and market risk exposure arising from the Firm’s business activities. The group also provides support for internal clients with quantitative analyses and solutions.

As part of the Risk Analytics group, the Risk Artificial Intelligence (AI) Applications team is responsible for implementing the Firm’s Risk Management AI strategy.

Responsibilities

As an AI/ML model developer in the Risk AI Applications team, you will:

  • Design and develop AI applications to enhance the Firm’s risk management processes and provide new insights for risk managers.
  • Contribute to software development using Python and AI/ML models, focusing on natural language processing (NLP) and Large Language Models (LLMs) like GPT-4.
  • Collaborate with risk managers, model reviewers, and other stakeholders.
  • Operate as part of a global team.
  • actively contribute as a hands-on developer while closely collaborating with the team.

Required Skills

  • A graduate degree (master’s or Ph.D.) in a quantitative field such as Computer Science, Mathematics, Mathematical Finance, Physics, Statistics, Engineering, or equivalent relevant work experience in AI/ML, software engineering, or related fields.
  • Proven track record in computer programming.
  • Familiarity with financial concepts and products.
  • Demonstrated interest in AI/ML concepts.
  • Exposure to modern development best practices, including unit testing and continuous integration/continuous deployment (CI/CD).
  • Strategic mindset with strong business acumen and creative problem-solving skills.
  • Excellent interpersonal and communication skills in both written and verbal English, with the ability to effectively communicate with both technical and non-technical stakeholders.

Desirable Skills

  • Strong proficiency in Python programming.
  • Familiarity with financial models.

You will have a chance to:

  • Work as part of an international team.
  • Contribute to high-impact projects.
  • Influence how the global risk analytics team leverages technology.
  • Gain exposure to quantitative risk models and their impact within the Firm.
  • Collaborate with high-performing technology teams in Risk and front office quant-developer teams.
  • Learn about finance, risk management, and operations of a global investment bank.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.